The concept of evolution in the Origin of Species: a computer-assisted analysis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Journal Article The concept of evolution in the Origin of Species: a computer-assisted analysis Get access Maxime B. Sainte-Marie, Maxime B. Sainte-Marie Université du Québec à Montréal (UQAM), Laboratoire d'analyse cognitive de l'information (LANCI), Montreal, Quebec, Canada Search for other works by this author on: Oxford Academic Google Scholar Jean-Guy Meunier, Jean-Guy Meunier Université du Québec à Montréal (UQAM), Laboratoire d'analyse cognitive de l'information (LANCI), Montreal, Quebec, Canada Search for other works by this author on: Oxford Academic Google Scholar Nicolas Payette, Nicolas Payette Université du Québec à Montréal (UQAM), Laboratoire d'analyse cognitive de l'information (LANCI), Montreal, Quebec, Canada Search for other works by this author on: Oxford Academic Google Scholar Jean-François Chartier Jean-François Chartier Université du Québec à Montréal (UQAM), Laboratoire d'analyse cognitive de l'information (LANCI), Montreal, Quebec, Canada Search for other works by this author on: Oxford Academic Google Scholar Literary and Linguistic Computing, Volume 26, Issue 3, September 2011, Pages 329–334, https://doi.org/10.1093/llc/fqr019 Published: 14 May 2011
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it